Source code for nvflare.apis.responder

# Copyright (c) 2021-2022, NVIDIA CORPORATION.  All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
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from abc import ABC, abstractmethod
from typing import Tuple

from nvflare.apis.signal import Signal

from .client import Client
from .fl_component import FLComponent
from .fl_context import FLContext
from .shareable import Shareable


[docs]class Responder(FLComponent, ABC): def __init__(self): """Init the Responder. Base class for responding to clients. Controller is a subclass of Responder. """ FLComponent.__init__(self)
[docs] @abstractmethod def process_task_request(self, client: Client, fl_ctx: FLContext) -> Tuple[str, str, Shareable]: """Called by the Engine when a task request is received from a client. Args: client: the Client that the task request is from fl_ctx: the FLContext Returns: task name, task id, and task data """ pass
[docs] @abstractmethod def handle_exception(self, task_id: str, fl_ctx: FLContext): """Called after process_task_request returns, but exception occurs before task is sent out.""" pass
[docs] @abstractmethod def process_submission(self, client: Client, task_name: str, task_id: str, result: Shareable, fl_ctx: FLContext): """Called by the Engine to process the submitted result from a client. Args: client: the Client that the submitted result is from task_name: the name of the task task_id: the id of the task result: the Shareable result from the Client fl_ctx: the FLContext """ pass
[docs] def initialize_run(self, fl_ctx: FLContext): """Called when a new RUN is about to start. Args: fl_ctx: FL context. It must contain 'job_id' that is to be initialized """ pass
[docs] @abstractmethod def control_flow(self, abort_signal: Signal, fl_ctx: FLContext): """This is the control logic for the RUN. NOTE: this is running in a separate thread, and its life is the duration of the RUN. Args: fl_ctx: the FL context abort_signal: the abort signal. If triggered, this method stops waiting and returns to the caller. """ pass
[docs] def finalize_run(self, fl_ctx: FLContext): """Called when a new RUN is finished. Args: fl_ctx: the FL context """ pass